THP.P12.7

IMPROPER NORMALIZATION ON HYPERSPECTRAL DATA CAUSE CHEATING RESULT ON RETRIEVAL TASK

Chubo Deng, Hongfeng Yu, Aerospace Information Research Institute, Chinese Academy of Science, China
Session:
THP.P12: Feature Extraction using Hyperspectral Imaging Poster
Track:
Data Analysis
Location:
Poster Area 12
Presentation Time:
Thu, 20 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Session Chair:
Katherine Henneberger, University of Kentucky
Session Managers:
HUMAIRA SANAM and Ayoti Banerjee and Imara Mohamed Nazar and sunni kanta prasad kushwaha
Presentation
Discussion
Resources
No resources available.
Session THP.P12
THP.P12.1: HYPERSPECTRAL BAND SELECTION BASED ON MATRIX CUR DECOMPOSITION
Katherine Henneberger, University of Kentucky, United States; Longxiu Huang, Michigan State University, United States; Jing Qin, University of Kentucky, United States
THP.P12.2: EVOLUTIONARY OPTIMISATION TECHNIQUES FOR BAND SELECTION IN DRONE-BASED HYPERSPECTRAL IMAGES FOR VEGETABLE CROPS MAPPING
ANAGHA S SARMA, RAMA RAO NIDAMANURI, Indian Institute of Space Science and Technology, India
THP.P12.3: TRANSFOMER BASED HYPERSPECTRAL DIMENSIONALITY REDUCTION WITH GABOR KERNEL CNN FOR FEATURE EXTRACTION
Harshula Tulapurkar, Buddhiraju Krishna Mohan, Biplab Banerjee, Indian Institute of Technology, Bombay, India
THP.P12.4: R2H-CCD: HYPERSPECTRAL IMAGERY GENERATION FROM RGB IMAGES BASED ON CONDITIONAL CASCADE DIFFUSION PROBABILISTIC MODELS
Lei Zhang, Xiaoyan Luo, Beihang University, China; Sen Li, Shanghai Information Technology Research Center, China; Xiaofeng Shi, Beihang University, China
THP.P12.5: ON DIMENSION REDUCTION OF HYPERSPECTRAL IMAGES
Benjamin Race, Todd Wittman, The Citadel, United States
THP.P12.6: A SURVEY ON HYPERSPECTRAL REMOTE SENSIG IMAGE COMPRESSION
Fan Zhang, Naval Aviation University, China; Chao Chen, Yuting Wan, Wuhan University, China
THP.P12.7: IMPROPER NORMALIZATION ON HYPERSPECTRAL DATA CAUSE CHEATING RESULT ON RETRIEVAL TASK
Chubo Deng, Hongfeng Yu, Aerospace Information Research Institute, Chinese Academy of Science, China
THP.P12.8: MUTUAL CHANNELS LOSS AND CHANNEL-WISE ATTENTION AIDED CONVOLUTIONAL AUTOENCODER FOR HYPERSPECTRAL IMAGE UNMIXING
Nithish Reddy Banda, Mrinmoy Ghorai, Indian Institute of Information Technology Sri city, India; Swalpa kumar Roy, Jalpaiguri Government Engineering College, India
THP.P12.9: SPECTRAL RECONSTRUCTION ALGORITHM FOR TUNABLE DETECTORS: A LEARNING BASED APPROACH
Mutian Zhuang, Majeed Hayat, Marquette University, United States
THP.P12.10: ENPT – AN ALTERNATIVE PRE-PROCESSING CHAIN FOR HYPERSPECTRAL ENMAP DATA
Daniel Scheffler, Maximilian Brell, Niklas Bohn, Helmholtz Center Potsdam GFZ German Research Centre for Geosciences, Germany; Leonardo Alvarado, Mariana A. Soppa, Alfred Wegener Institute, Germany; Karl Segl, Helmholtz Center Potsdam GFZ German Research Centre for Geosciences, Germany; Astrid Bracher, Alfred Wegener Institute, Germany; Sabine Chabrillat, Helmholtz Center Potsdam GFZ German Research Centre for Geosciences, Germany
THP.P12.11: SPECTRAL FEATURE LEARNING FOR ANOMALY CHANGE DETECTION IN HYPERSPECTRAL IMAGE
Wen Xie, Wen Ren, Qinzhe Wu, Hongyue Sun, Xi’an University of Posts and Telecommunications, China
THP.P12.12: Hyperspectral Anomaly Detection Based On Background Purification Via Deep Autoencoding Gaussian Mixture Model
Zhiyue Wang, Junping Zhang, Ye Zhang, Xinyu Zhou, School of Electronics and Information Engineering, Harbin Institute of Technology, China
Resources
No resources available.